About Datorios
Datorios is an observability software from Datorios that supports real-time data management for streaming-driven systems. It provides advanced observability, validation, and compliance features so businesses can trust their data for automation. Built with a data-first approach, Datorios assists organizations in ensuring that their real-time data is reliable and compliant with industry standards. The platform includes options like Bring the Own Cloud (BYOC) and features an overview walkthrough video for onboarding. Key capabilities: advanced observability data validation compliance monitoring real-time alerts customizable integrations Best for: enterprises that need reliable oversight of their real-time data for business automation.
Datorios Details
Datorios's In-App Market Place
Does Datorios have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
Accepted Payment Currencies
USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CHF (CHF), CNY (元), SEK (kr), NOK (kr), NZD (NZ$), DKK (kr), HKD (HK$), KRW (₩), SGD (S$), INR (₹), RUB (₽), ZAR (R), BRL (R$)
Pros & Cons
- Purpose-Built for Real-Time AI: Designed specifically for Apache Flink and other streaming data platforms like Kafka and Pulsar.
- Deep Observability: Offers tracing, data lineage, and compliance tools to monitor and debug real-time pipelines.
- Correlated Traces: Links data, code, and infrastructure to pinpoint root causes of issues quickly.
- Interactive Dashboards: Visual tools for exploring job graphs, state changes, and event flows.
- Low Overhead: Observability tools run externally to Flink jobs, preserving system performance.
- Developer-Friendly: Supports CI/CD, test automation, and version control for streamlined dev cycles.
- Free to Explore: Publicly available with minimal limitations for trial and experimentation.
- Flink-Centric: Primarily optimized for Apache Flink, which may limit utility for teams using other stream processors.
- Setup Complexity: Requires integration with existing Flink environments, which may involve a learning curve.
- Enterprise Focus: Tailored for large-scale, mission-critical systems—may be overkill for smaller or simpler use cases.